Tanzania Money Supply M2

Tanzania · Monthly series · EC-TZ-M2

Latest, September 2026

57.33T TZS

+2.2% from August 2026

Open interactive chartTanzania Money Supply M2 in the app

83.45T49.72T16TOctober 2016September 2027
History through September 2026, the forecast path to September 2027 (dashed) and its 80% interval (shaded).

Forecast

Forecast for September 2027: 69.75T TZS, with an 80% interval of 59.36T TZS to 83.45T TZS.

Forecast path. Intervals are shown where available.
PeriodForecast80% low80% high
October 202658.87T TZS57.35T TZS60.58T TZS
November 202659.93T TZS57.22T TZS63.20T TZS
December 202660.76T TZS57.63T TZS64.57T TZS
January 202761.30T TZS58.28T TZS64.83T TZS
February 202762.24T TZS57.30T TZS68.38T TZS
March 202762.78T TZS58.91T TZS67.56T TZS
April 202763.84T TZS58.25T TZS70.42T TZS
May 202764.78T TZS58.49T TZS72.10T TZS
June 202766.75T TZS54.97T TZS82.00T TZS
July 202767.74T TZS60.83T TZS76.75T TZS
August 202768.96T TZS60.55T TZS80.29T TZS
September 202769.75T TZS59.36T TZS83.45T TZS

Model: Agentic Investor TSFM (foundation model). Forecast generated 2026-11-15.

AI confidence

Supported evidence

The point forecast beat the no-change baseline overall and in a majority of the evaluated tests.

Model: Agentic Investor TSFM (foundation model)

Accuracy vs naive
+42%Beats the no-change baseline over 12 tests (12 tests, 12 won)
Direction
99%Beats a coin flip (142 of 144 calls right in 12 tests)
Turning points
13 of 58Anticipated some turns (58 turns in 12 tests, 0 without a turn)
Error vs baseline
42% lowerError ratio 0.58; 1.00 is a tie.
Tests won
12 / 12Complete rolling backtests; ties count as no win.
Test period
2014-10-01 to 2026-09-0112 observations ahead per test.
80% band coverage
80%Observed outcomes inside the band across all stored test windows.
How this assessment is made

AI confidence describes historical evidence for this forecast, not a probability of being correct. Each backtest fits on data available before its test window. The baseline carries the last value forward. Supported evidence requires at least six complete, non-overlapping tests, an error ratio below 0.90 (rounded to two decimals), and wins in a majority of tests. Ratios from 0.90 to below 1.10 are on par; 1.10 or above is weak evidence. Inconsistent wins produce mixed evidence. For a selected model, only the recent tests excluded from model selection determine this label. These are historical simulations using the available data, not a live trading track record; revisions and foundation-model pretraining can limit how closely they reproduce a past decision. Past performance can change.

Replay past tests

Model comparison

Comparison pendingA new ticker first receives its serving model's forecast and evaluation. An eligible nightly batch can compare both candidates, subject to call budgets and retry limits.

Reading

That is the highest of the 120 readings since October 2016.

Written from the figures by a fixed template; no AI model is involved.

Recent history (24 observations)
The 24 most recent observations, newest first.
PeriodValue
September 202657.33T TZS
August 202656.09T TZS
July 202654.64T TZS
June 202654.25T TZS
May 202651.38T TZS
April 202650.10T TZS
March 202649.25T TZS
February 202648.50T TZS
January 202648.00T TZS
December 202548.14T TZS
November 202546.80T TZS
October 202545.91T TZS
September 202544.52T TZS
August 202543.76T TZS
July 202542.64T TZS
June 202541.71T TZS
May 202539.80T TZS
April 202539.49T TZS
March 202538.54T TZS
February 202537.80T TZS
January 202537.42T TZS
December 202437.14T TZS
November 202437.17T TZS
October 202436.50T TZS

Source

Data: public market data feeds.

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